Abstract
The paper presents a method for the estimation of the EMFs, speed, rotor position and load torque of the permanent magnet synchronous motor (PMSM) which are typically needed in sensorless control. The estimation approach uses an extended dynamic model of the motor and is done with cascaded observers; one of them employs an adaptive law. A first observer estimates the EMFs of the motor -they are fed in the tan-1 function to compute the angle of rotor position. The EMFs and the rotor position are fed into a second observer - this estimates the speed of the PMSM as well as the load torque. The load torque is obtained based on an adaptive law. In the paper, the mathematics of the observers and subsequent simulations are shown.
| Original language | English (US) |
|---|---|
| Title of host publication | 2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728114132 |
| DOIs | |
| State | Published - Jun 2019 |
| Event | 16th International Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Varna, Bulgaria Duration: Jun 6 2019 → Jun 8 2019 |
Publication series
| Name | 2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings |
|---|
Conference
| Conference | 16th International Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 |
|---|---|
| Country/Territory | Bulgaria |
| City | Varna |
| Period | 6/6/19 → 6/8/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Mechanical Engineering
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